Systemic Risk, Reinsurance, and the Failure of Crop Insurance Markets
Mario J. Miranda, Joseph W. William Glauber
Abstract
Mario J. Miranda, Joseph W. William Glauber
Abstract
Abstract Without affordable reinsurance, private crop insurance markets are doomed to fail because systemic weather effects induce high correlation among farm‐level yields, defeating insurer efforts to pool risks across farms. Using an empirical model of the U.S. crop insurance market, we find that U.S. crop insurer portfolios are twenty to fifty times riskier than they would be otherwise if yields were stochastically independent across farms. We also find that area yield reinsurance contracts would enable crop insurers to cover most of their systemic crop loss risk, reducing their risk exposure to levels typically experienced by more conventional property liability insurers.
OpenAlex reports 407 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Abstract Without affordable reinsurance, private crop insurance markets are doomed to fail because systemic weather effects induce high correlation among farm‐level yields, defeating insurer efforts to pool risks across farms. Using an empirical model of the U.S. crop insurance market, we find that U.S. crop insurer portfolios are twenty to fifty times riskier than they would be otherwise if yields were stochastically independent across farms. We also find that area yield reinsurance contracts would enable crop insurers to cover most of their systemic crop loss risk, reducing their risk exposure to levels typically experienced by more conventional property liability insurers.
Key concepts: Reinsurance, Crop insurance, Business, Yield (engineering), Actuarial science, Agricultural science, Economics, Agricultural economics